A computational approach for the analysis of epigenetic mechanisms in colorectal cancer

Presenter Information

Caleb PeckaFollow

Presenter Type

UNO Graduate Student (Masters)

Major/Field of Study

Bioinformatics

Advisor Information

Dhundy Bastola

Location

MBSC304 - G (Masters)

Presentation Type

Oral Presentation

Start Date

24-3-2023 2:30 PM

End Date

24-3-2023 3:45 PM

Abstract

The availability of improved chromatin accessibility sequencing technologies such as ATAC-seq has increased our understanding of gene regulation mechanisms, especially in disease conditions such as cancer. In this study, we propose a computational tool that quantifies and links interactions between chromatin access, transcription factor binding, transcription factor mutations, and gene expression using publicly available colorectal cancer data. Our tool has been packaged using a workflow management system, enabling biologists and researchers to use this tool even if they lack the systems administration knowledge required for similar pipelines. Using this pipeline, we demonstrate that there is a link between chromatin accessibility and gene expression, especially in the context of transcription factor gene accessibility and SNP mutations. We also identified key transcription factor cascades upregulated in colon cancer patients, including the activation of the BCL-2 protein family via TP73 and apoptotic regulation via E2F1, MYC, and MYCN.

Scheduling

9:15-10:30 a.m., 10:45 a.m.-Noon, 1-2:15 p.m., 2:30 -3:45 p.m.

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Mar 24th, 2:30 PM Mar 24th, 3:45 PM

A computational approach for the analysis of epigenetic mechanisms in colorectal cancer

MBSC304 - G (Masters)

The availability of improved chromatin accessibility sequencing technologies such as ATAC-seq has increased our understanding of gene regulation mechanisms, especially in disease conditions such as cancer. In this study, we propose a computational tool that quantifies and links interactions between chromatin access, transcription factor binding, transcription factor mutations, and gene expression using publicly available colorectal cancer data. Our tool has been packaged using a workflow management system, enabling biologists and researchers to use this tool even if they lack the systems administration knowledge required for similar pipelines. Using this pipeline, we demonstrate that there is a link between chromatin accessibility and gene expression, especially in the context of transcription factor gene accessibility and SNP mutations. We also identified key transcription factor cascades upregulated in colon cancer patients, including the activation of the BCL-2 protein family via TP73 and apoptotic regulation via E2F1, MYC, and MYCN.